CrewAI

Integrate CrewAI's role-based agent framework with Agent Kernel.

Installation

pip install agentkernel[crewai]

Basic Usage

from crewai import Agent as CrewAgent
from agentkernel.cli import CLI
from agentkernel.crewai import CrewAIModule

agent = CrewAgent(
    role="assistant",
    goal="Help users with their questions",
    backstory="You are a helpful AI assistant",
    verbose=False,
)

CrewAIModule([agent])

if __name__ == "__main__":
    CLI.main()

Multi-Agent Crew

from crewai import Agent as CrewAgent, Task, Crew
from agentkernel.crewai import CrewAIModule

researcher = CrewAgent(
    role="researcher",
    goal="Research topics thoroughly",
    backstory="You are an expert researcher",
    verbose=False,
)

writer = CrewAgent(
    role="writer",
    goal="Write clear content",
    backstory="You are a skilled writer",
    verbose=False,
)

CrewAIModule([researcher, writer])

Configuration

export OPENAI_API_KEY=sk-...  # CrewAI uses OpenAI by default

Tool Binding

Use CrewAIToolBuilder to bind plain Python functions as tools to your CrewAI agents:

from crewai import Agent as CrewAgent
from agentkernel.crewai import CrewAIModule, CrewAIToolBuilder

def get_weather(city: str) -> str:
    """Returns the weather for a given city."""
    return f"Weather in {city}: sunny, 25°C"

agent = CrewAgent(
    role="weather",
    goal="You provide weather information",
    backstory="Use the get_weather tool for weather-related questions.",
    tools=CrewAIToolBuilder.bind([get_weather]),
)

CrewAIModule([agent])

See Tools for the full guide on writing and binding tools.

Features

• ✅ Role-based agents
• ✅ Task delegation
• ✅ Sequential execution
• ✅ Hierarchical teams
• ✅ Framework-agnostic tool binding

Example

See examples/cli/crewai for complete examples.